XPO

Last-mile delivery is the most cost-intensive segment of logistics, with failed deliveries compounding the expense through repeated trip attempts. For XPO — one of Europe's leading transportation and logistics providers operating extensive delivery networks across the Iberian Peninsula — recipient absence at the delivery point was a persistent operational problem. Existing communication tools, including XPO's own WhatsApp tracking channel, offered shipment visibility but no mechanism for recipients to act on that information and cancel in advance. Each failed attempt required an additional driver dispatch, inflating costs, degrading route efficiency, and generating preventable carbon emissions in a sector under growing pressure to decarbonize.

XPO developed an AI-powered voice chatbot that initiates proactive outbound calls to delivery recipients the moment a driver departs for their address. Built on natural language processing, the system queries Google Maps in real time to calculate a precise ETA, then places a personalized automated call informing the recipient of the exact expected arrival time — without human intervention. Recipients can interact with the system to replay the message or cancel the delivery; cancellations are instantly relayed to the driver, allowing route adjustments before wasted travel occurs. The chatbot was layered on top of XPO's existing WhatsApp tracking infrastructure, adding bidirectional communication to a channel that had previously been read-only. The solution was developed internally and deployed across all last-mile routes in Spain and Portugal.

The chatbot reached full geographic coverage at rollout, operating across 100% of last-mile routes in Spain and Portugal. Within its initial operational period, the system was already processing hundreds of calls per day, demonstrating rapid adoption at scale. Key outcomes include:

• Failed delivery reduction: recipients can cancel before the driver arrives, eliminating redundant carrier trips
• Driver efficiency: real-time cancellation alerts enable route adjustments before wasted mileage accumulates
• Emissions reduction: fewer repeat delivery attempts directly cut vehicle emissions, supporting XPO's decarbonization commitments
• Customer experience: precise ETAs replace vague delivery windows, reducing recipient uncertainty

• Proactive outbound AI calls create an actionable decision point for recipients — more effective at preventing failed deliveries than passive tracking tools that only provide visibility.
• Integrating live routing data (Google Maps) delivers specific ETAs rather than static time windows; precision drives customer response and cancellation rates.
• Building a cancellation feedback loop directly into the call flow closes the gap between customer intent and driver scheduling in real time.
• Layering the chatbot on existing communication infrastructure (WhatsApp tracking) reduces integration complexity and accelerates deployment.
• Failed-delivery reduction carries a measurable sustainability benefit, strengthening the internal business case for AI investment in last-mile operations.